Evidence map›Paper›PMID 29414894›Full record

ReviewSensors (Basel, Switzerland)2018

Acoustic Sensors for Air and Surface Navigation Applications.

Rohan Kapoor, Subramanian Ramasamy, Alessandro Gardi, Ron Van Schyndel, Roberto Sabatini

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Requirements for Drone Operations to Minimise Community Noise Impact.International journal of environmental research and public health · 2022
    Article
  4. Review
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Rohan KapoorSchool of Engineering, RMIT University, Aerospace and Aviation Discipline, Melbourne 3000, Australia. rohan.kapoor@rmit.edu.au.ORCID 0000-0002-0287-6781
Subramanian RamasamySchool of Engineering, RMIT University, Aerospace and Aviation Discipline, Melbourne 3000, Australia. subramanian.ramasamy@rmit.edu.au.
Alessandro GardiSchool of Engineering, RMIT University, Aerospace and Aviation Discipline, Melbourne 3000, Australia. alessandro.gardi@rmit.edu.au.ORCID 0000-0003-4995-4166
Ron Van SchyndelSchool of Science, RMIT University, Computer Science and Information Technology Discipline, Melbourne 3000, Australia. ron.vanschyndel@rmit.edu.au.
Roberto SabatiniSchool of Engineering, RMIT University, Aerospace and Aviation Discipline, Melbourne 3000, Australia. roberto.sabatini@rmit.edu.au.ORCID 0000-0002-3399-2291

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper presents the state-of-the-art and reviews the state-of-research of acoustic sensors used for a variety of navigation and guidance applications on air and surface vehicles. In particular, this paper focuses on echolocation, which is widely utilized in nature by certain mammals (e.g., cetaceans and bats). Although acoustic sensors have been extensively adopted in various engineering applications, their use in navigation and guidance systems is yet to be fully exploited. This technology has clear potential for applications in air and surface navigation/guidance for Intelligent Transport Systems (ITS), especially considering air and surface operations indoors and in other environments where satellite positioning is not available. Propagation of sound in the atmosphere is discussed in detail, with all potential attenuation sources taken into account. The errors introduced in echolocation measurements due to Doppler, multipath and atmospheric effects are discussed, and an uncertainty analysis method is presented for ranging error budget prediction in acoustic navigation applications. Considering the design challenges associated with monostatic and multi-static sensor implementations and looking at the performance predictions for different possible configurations, acoustic sensors show clear promises in navigation, proximity sensing, as well as obstacle detection and tracking. The integration of acoustic sensors in multi-sensor navigation systems is also considered towards the end of the paper and a low Size, Weight and Power, and Cost (SWaP-C) sensor integration architecture is presented for possible introduction in air and surface navigation systems.

Indexed as

acoustic sensorsaerospaceground vehiclesindoor navigationIntelligent Transport Systemsnavigationpersonal mobilityultrasonics

Identifiers

PMID29414894
PMCPMC5855873

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.